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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

This method uses GZIP compression to optimize storage consumption and query performance. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. After five minutes of seeing these products back then, I just knew they would change everything!

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GraphDB Users Ask: Is RDF-Star The Best Choice For Reification?

Ontotext

As an abstract knowledge representation model, it does not differentiate between data and metadata. Therefore, if you want to model quadruples or more complex relationships, which store both the data (triple) and its metadata as a single datapoint, you have to normalize the connection somehow. standard. :a

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Data Science, Past & Future

Domino Data Lab

The problems down in the mature bucket, those are optimizations, they aren’t showstoppers. In 2005, a colleague had moved to Seattle, and he was on a new project, and he kept calling me with these really weird questions about a new kind of service. Machine learning is a subset of mathematical optimization.